AcaRevival Initiative

Experienced academic misconduct or bullying? We're building a real weapon against it.

Read Manifesto →
JN

Joseph J. Noh

Stanford University

No ratings yetBe the first to rate
Loading...

About Joseph J. Noh at Stanford University (Stanford)

Joseph J. Noh is an academic professional affiliated with Stanford University. Their primary research focus includes Computational Drug Discovery Methods, Protein Structure and Dynamics, and Receptor Mechanisms and Signaling. As a highly cited researcher, their work has accumulated over 2,205 citations, reflecting substantial influence across the academic community. Their H-index of 10 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Computational Drug Discovery MethodsProtein Structure and DynamicsReceptor Mechanisms and SignalingHematopoietic Stem Cell TransplantationImmune cells in cancer

Academic Impact Matrix

Research output metrics for Joseph J. Noh aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations2,205

Emerging researcher

Publications15

Selective publication record

h-index10

Developing track record

i10-index10

Early-stage portfolio

Lab Environment

No lab data yet for Joseph J. Noh

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Reviews (0)

No reviews yet for this supervisor.

Be the first to share your experience!

Is your PI driving you crazy?

Featured Article

The Sunday Night Dread: Surviving a Micromanaging PhD Supervisor

Real advice from PhD students on recognizing and navigating difficult supervisor relationships

Your experience matters. After reading the guide, share your review to help other PhD students.

Frequently Asked Questions

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.